Literature DB >> 33031706

Breast-iRRISC: a novel model for predicting the individualised lifetime risk of radiation-induced breast cancer from a single screening event.

Sahand Hooshmand1, Warren M Reed1, Mo'ayyad E Suleiman1, Patrick C Brennan1.   

Abstract

OBJECTIVES: This work establishes the prototype of a new innovative risk model that aims to evaluate the total risk involved with screening mammography for each individual female. This has been specifically designed to accommodate any combination of lifetime screening regimes, using only the information gathered from a single mammographic examination.
METHODS: This model prototype was developed with the aid of a large dataset of images from the Cancer Institute New South Wales (CINSW) with over 30,000 images from over 7000 examinations. Each examination is derived from a separate female.
RESULTS: This prototype which we have called Breast Individualised Risk of Radiation-Induced Screening Cancer (Breast-iRRISC) is a novel tool for the assessment of the lifetime risk involved with screening mammography. The results demonstrate the applicability of this approach to the various screening regimes utilised around the globe, in addition to the personalised screening frequency patterns females have undergone and are likely to receive in the future.
CONCLUSIONS: This unique tailored approach to risk assessment will further empower females and clinicians towards a more informed clinical decision process regarding future imaging pathways. It will also inform health policy decisions regarding alternate screening durations and intervals. ADVANCES IN KNOWLEDGE: Breast-iRRISC is a novel tool that provides females, clinicians and health policymakers around the globe with the ability to quantify the lifetime risk of radiation-induced breast cancer from screening mammography on an individual level from a single exposure.

Entities:  

Mesh:

Year:  2020        PMID: 33031706      PMCID: PMC7774682          DOI: 10.1259/bjr.20200734

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  12 in total

1.  Additional factors for the estimation of mean glandular breast dose using the UK mammography dosimetry protocol.

Authors:  D R Dance; C L Skinner; K C Young; J R Beckett; C J Kotre
Journal:  Phys Med Biol       Date:  2000-11       Impact factor: 3.609

2.  The 2007 Recommendations of the International Commission on Radiological Protection. ICRP publication 103.

Authors: 
Journal:  Ann ICRP       Date:  2007

3.  Radiation-Induced Breast Cancer Incidence and Mortality From Digital Mammography Screening: A Modeling Study.

Authors:  Diana L Miglioretti; Jane Lange; Jeroen J van den Broek; Christoph I Lee; Nicolien T van Ravesteyn; Dominique Ritley; Karla Kerlikowske; Joshua J Fenton; Joy Melnikow; Harry J de Koning; Rebecca A Hubbard
Journal:  Ann Intern Med       Date:  2016-01-12       Impact factor: 25.391

4.  Radiation risk of breast screening in England with digital mammography.

Authors:  Lucy M Warren; David R Dance; Kenneth C Young
Journal:  Br J Radiol       Date:  2016-09-21       Impact factor: 3.039

5.  Mathematical modelling of radiation-induced cancer risk from breast screening by mammography.

Authors:  Raed M K M Ali; Andrew England; Claire Mercer; Andrew Tootell; Lucy Walton; Wouter Schaake; Peter Hogg
Journal:  Eur J Radiol       Date:  2017-10-03       Impact factor: 3.528

6.  Integrating mammographic breast density in glandular dose calculation.

Authors:  Moayyad E Suleiman; Patrick C Brennan; Ernest Ekpo; Peter Kench; Mark F McEntee
Journal:  Br J Radiol       Date:  2018-02-13       Impact factor: 3.039

7.  Risk of radiation-induced breast cancer from mammographic screening.

Authors:  Martin J Yaffe; James G Mainprize
Journal:  Radiology       Date:  2010-11-16       Impact factor: 11.105

8.  Diagnostic reference levels for digital mammography in New South Wales.

Authors:  Moayyad E Suleiman; Mark F McEntee; Lucy Cartwright; Jennifer Diffey; Patrick C Brennan
Journal:  J Med Imaging Radiat Oncol       Date:  2016-10-06       Impact factor: 1.735

9.  Radiation effects on breast cancer risk: a pooled analysis of eight cohorts.

Authors:  Dale L Preston; Anders Mattsson; Erik Holmberg; Roy Shore; Nancy G Hildreth; John D Boice
Journal:  Radiat Res       Date:  2002-08       Impact factor: 2.841

10.  Estimating radiation-induced cancer risks at very low doses: rationale for using a linear no-threshold approach.

Authors:  David J Brenner; Rainer K Sachs
Journal:  Radiat Environ Biophys       Date:  2006-02-10       Impact factor: 1.925

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